{"id":"https://openalex.org/W2142781971","doi":"https://doi.org/10.1109/ijcnn.2008.4633796","title":"Derive local invariance transformations from SVM","display_name":"Derive local invariance transformations from SVM","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2142781971","doi":"https://doi.org/10.1109/ijcnn.2008.4633796","mag":"2142781971"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4633796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4633796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ling Ping","orcid":null},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ling Ping","raw_affiliation_strings":["College of Computer Science and Technology, Key Laboratory for Symbol Computation and Knowledge Engineering of the National Education Ministry, Jilin University, Changchun, China","College of Computer Science and Technology, XuZhou Normal University of China, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Key Laboratory for Symbol Computation and Knowledge Engineering of the National Education Ministry, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Computer Science and Technology, XuZhou Normal University of China, Xuzhou, China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621319","display_name":"Zhe Wang","orcid":"https://orcid.org/0000-0002-3759-2041"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Zhe","raw_affiliation_strings":["Key Laboratory for Symbol Computation and Knowledge Engineering of the National Education Ministry,College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Symbol Computation and Knowledge Engineering of the National Education Ministry,College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442279","display_name":"Xi Wang","orcid":"https://orcid.org/0000-0003-0073-0022"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Xi","raw_affiliation_strings":["Key Laboratory for Symbol Computation and Knowledge Engineering of the National Education Ministry,College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Symbol Computation and Knowledge Engineering of the National Education Ministry,College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079746101","display_name":"Chunguang Zhou","orcid":"https://orcid.org/0000-0002-5269-2526"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Chun-guang","raw_affiliation_strings":["Key Laboratory for Symbol Computation and Knowledge Engineering of the National Education Ministry,College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Symbol Computation and Knowledge Engineering of the National Education Ministry,College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118574674","https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15148916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"238","last_page":"242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6964115500450134},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6021653413772583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5972989201545715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.551188051700592},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5260769724845886},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5175132751464844},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5156953930854797},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.47760865092277527},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4652467966079712},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.45221415162086487},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4438221752643585},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43449223041534424},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41460418701171875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33745211362838745},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3361099362373352},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3321680426597595}],"concepts":[{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6964115500450134},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6021653413772583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5972989201545715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.551188051700592},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5260769724845886},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5175132751464844},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5156953930854797},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.47760865092277527},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4652467966079712},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.45221415162086487},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4438221752643585},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43449223041534424},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41460418701171875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33745211362838745},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3361099362373352},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3321680426597595},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2008.4633796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4633796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1548139318","https://openalex.org/W1600737329","https://openalex.org/W1601740268","https://openalex.org/W1943383135","https://openalex.org/W2091632079","https://openalex.org/W2101430057","https://openalex.org/W2102909657","https://openalex.org/W2125055259","https://openalex.org/W2125834616","https://openalex.org/W2137291015","https://openalex.org/W2148603752","https://openalex.org/W2160059488","https://openalex.org/W4234674466","https://openalex.org/W6632920007","https://openalex.org/W6635925994","https://openalex.org/W6675339129","https://openalex.org/W6678910764","https://openalex.org/W6680112165"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W3121841074","https://openalex.org/W1983936910","https://openalex.org/W2901018557","https://openalex.org/W2055572829","https://openalex.org/W1894159578","https://openalex.org/W2807400035","https://openalex.org/W4297796115","https://openalex.org/W3125086856"],"abstract_inverted_index":{"Invariance":[0],"transformation":[1,25],"(IT)":[2],"is":[3,12,35,56,78],"a":[4,22,46,73],"rewarding":[5],"technique":[6],"to":[7,15],"facilitate":[8],"classification.":[9],"But":[10],"it":[11],"often":[13],"difficult":[14],"derive":[16],"its":[17],"definition.":[18],"This":[19],"paper":[20],"derives":[21],"local":[23],"invariance":[24],"definition":[26,34],"from":[27],"SVM":[28],"decision":[29],"function.":[30],"The":[31],"corresponding":[32],"IT-distance":[33],"consequently":[36],"designed":[37],"in":[38],"both":[39],"input":[40],"space":[41],"and":[42,52,69,87],"feature":[43],"space.":[44],"And":[45],"classification":[47,96],"algorithm":[48],"based":[49],"on":[50,101],"IT":[51],"Nearest":[53],"Neighbor":[54],"rule":[55],"proposed,":[57],"named":[58],"as":[59,66],"ITNN.":[60],"ITNN":[61,77,100],"exploits":[62],"hyper":[63,88],"sphere":[64],"centers":[65],"class":[67],"prototypes":[68],"labels":[70],"data":[71],"using":[72],"weighted":[74],"voting":[75],"strategy.":[76],"of":[79,95,106],"computational":[80],"ease":[81],"brought":[82],"by":[83,99],"training":[84],"dataset":[85],"reduction":[86],"parameter":[89],"self-tuning.":[90],"We":[91],"describe":[92],"experimental":[93],"evidence":[94],"performance":[97],"improved":[98],"real":[102],"datasets":[103],"over":[104],"state":[105],"the":[107],"arts.":[108]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}